Deloitte at Analytics 2017
The INFORMS Conference on Business Analytics and Operations Research
Analytics 2017: The INFORMS Conference on Business Analytics and Operations Research (April 2–4, 2017) brings together leading analytics professionals, data scientists, and industry experts to discuss industry trends and case studies. Deloitte will showcase our breadth and depth of experience in business analytics and how we are helping clients use the insights generated to produce outcomes.
- Overview of Deloitte at Analytics 2017
- Latest thinking in analytics and data science
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Deloitte at Analytics 2017
Special panel session: Growing an analytics team
Monday, April 3, 2017 | 2:10 pm–3:00 pm | Octavius 15/16
Panelist: Dr. Juergen Klenk, principal, Deloitte Consulting LLP’s Monitor Strategy practice
Analytics on unstructured data track
A practical guide to making NLP work in your organization
Tuesday, April 4, 2017 | 9:10 am–10:00 am | Octavius 5/6
Vishal Kapur, principal, Advanced Analytics and Financial Regulatory Practice, Deloitte Consulting LLP
Brian Ray, Cognitive Team lead, Products & Solutions, Deloitte Consulting LLP
Internet of Things track
IoT: Shining a light on the darkside of the factory line
Tuesday, April 4, 2017 | 11:30 am–12:20 pm | Octavius 7/8
Robert Schmid, Chief Internet of Things technologist, managing director, Deloitte Digital
Supply chain analytics track
The race to autonomous driving: Leveraging maximum difference scaling and GLM to prioritize what in-vehicle technologies consumers want
Tuesday, April 4, 2017 | 4:40 pm–5:30 pm | Octavius 18
Bharath Gangula, manager, Deloitte Services LP
Visit us at Booth 6
Learn more about our latest thinking in analytics and data science
Technology advances are reshaping business and society at a dizzying clip. Cognitive or artificial intelligence (AI), robotics and process automation, big data, digital transformation, and the Internet of Things are changing the way we work, think, and live. Leaders in the business and science community are challenged to measure and infuse societal pressures into the design of autonomous systems.
Dark analytics: Illuminating opportunities hidden within unstructured data
Across enterprises, ever-expanding stores of data remain unstructured and unanalyzed. Few organizations have been able to explore nontraditional data sources such as image, audio, and video files; the torrent of machine and sensor information generated by the IoT; and the enormous troves of raw data found in the unexplored recesses of the “deep web.” However, recent advances in computer vision, pattern recognition, and cognitive analytics are making it possible for companies to shine a light on these untapped sources and derive insights that lead to better experiences and decision making across the business.
Machine intelligence: Technology mimics human cognition to create value
Artificial intelligence’s rapid evolution has given rise to myriad distinct—yet often misunderstood—AI capabilities such as machine learning, deep learning, cognitive analytics, robotics process automation (RPA), and bots, among others. Collectively, these and other tools constitute machine intelligence: Algorithmic capabilities that can augment employee performance, automate increasingly complex workloads, and develop “cognitive agents” that simulate both human thinking and engagement. Machine intelligence represents the next chapter in the advanced analytics journey.
Some have voiced fears that artificial intelligence could replace humans altogether. But that isn't likely. A more valuable approach may be to view machine and human intelligence as complementary, with each bringing its own strengths to the table.
Decoding the path to purchase: Autonomous analytics for customer mapping
Given the dizzying amounts of data hurling across cyberspace each second, companies that wish to glean customer insights through analytics should explore adding autonomous analytics to their sales and marketing arsenal along with plain old intuition and artisanal analytics.